code: def prepare_config_and_inputs(self):
      pixel_values = floats_tensor(
          [
              self.batch_size,
              self.vision_config["num_channels"],
              self.vision_config["image_size"],
              self.vision_config["image_size"],
          ]
      )
      config = self.get_config()
  
      return config, pixel_values
  
imports: import gc
  import unittest
  import requests
  from transformers import AutoProcessor, LlavaConfig, LlavaForConditionalGeneration, is_torch_available, is_vision_available
  from transformers.testing_utils import require_bitsandbytes, require_torch, require_torch_gpu, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 3 for calling the LlavaVisionText2TextModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  pixel_values